Quavo Fraud & Disputes

Quavo is a leading provider of automated dispute management SaaS solutions for issuing financial institutions.

AI & Data Governance

Full TimeRemoteTeam 51-200Since 2015H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

5 days ago

Salary

Not specified

Bachelor Degree3 yrs expEnglishPythonSQL

Job Description

• Perform independent validation of models used fraud and dispute resolution. • Assess conceptual soundness, data integrity, and performance of models against regulatory, client, and internal standards. • Conduct back-testing, benchmarking, and sensitivity analysis to evaluate model robustness. • Document validation findings and provide actionable recommendations for remediation, when required. • Maintain model inventory and ensure adherence to Model Risk Management (MRM) policies. • Support governance processes including model approval, periodic reviews, and retirement. • Ensure compliance with regulatory requirements such as OCC guidelines. • Establish and enforce data quality standards, metrics, and KPIs across the organization. • Collaborate with stakeholders to document data lineage and business rules. • Create and oversee policies ensuring consistency and compliance in data and modeling processes. • Validate input data sources for accuracy, completeness, and appropriateness. • Develop and maintain comprehensive documentation for models, assumptions, and validation procedures. • Implement controls to monitor ongoing model performance and risk indicators. • Collaborate with Sales and Legal teams to ensure Quavo is compliant with prospective clients’ model governance standards. • Partner with quantitative teams, risk managers, and business units to resolve model issues. • Communicate validation results and governance updates to senior management.

Job Requirements

  • Bachelor’s or Master’s degree in finance, Economics, Statistics, Mathematics, or related field.
  • Strong understanding of financial modeling techniques and risk management principles.
  • Proficiency in statistical tools and programming languages (Python, R, SAS, SQL, or similar).
  • Familiarity with regulatory frameworks
  • Comprehensive understanding of contractual requirements and data sharing protocols across vendor ecosystems
  • Excellent analytical, problem-solving, and documentation skills.

Benefits

  • Health insurance
  • 401(k) matching
  • Flexible work hours
  • Paid time off
  • Professional development opportunities

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